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EAI Endorsed Transactions on Scalable Information Systems, 2021 This article has been retracted, and the retraction notice can be found here: http://dx.doi.org/10.4108/eai.8-4-2022.173801 The application of building extraction involves a wide range of fields, including urban planning, land use analysis and change ...
Yian Xu
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Using robust methods for automatic extraction of buildings [PDF]
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, 2005 We present a system for modeling buildings from a single correlation-based Digital Elevation Model (DEM). The model is constructed in two stages. The first stage segments the DEM into planar surface patches that describe the building. The second stage generates the final polygonal model of the building using weak geometric constraints.
Vestri, Christophe, Devernay, Frédéric
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Remote Sensing, 2023 Building extraction based on remote sensing images has been widely used in many industries. However, state-of-the-art methods produce an incomplete segmentation of buildings owing to unstable multi-scale context aggregation and a lack of consideration of
Zhenqing Wang +6 more
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MFFNet: A Building Extraction Network for Multi-Source High-Resolution Remote Sensing Data
Applied Sciences, 2023 The use of deep learning methods to extract buildings from remote sensing images is a key contemporary research focus, and traditional deep convolutional networks continue to exhibit limitations in this regard. This study introduces a novel multi-feature
Keliang Liu +4 more
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Multi-Building Extraction and Alignment for As-Built Point Clouds: A Case Study With Crane Cameras
Frontiers in Built Environment, 2020 Automatic reality capture and monitoring of construction sites can reduce costs, accelerate timelines and improve quality in construction projects. Recently, automatic close-range capture of the state of large construction sites has become possible ...
Mustafa K. Masood +3 more
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Fast and Robust Building Extraction Based on HSV Color Analysis Using Color Segmentation and GrabCut
SICE Journal of Control, Measurement, and System Integration, 2020 In this paper, we propose a method for automatically extracting buildings from scenery images. The method utilizes color segmentation and GrabCut on the basis of the fact that the background regions of scenery images tend to be found in the upper and ...
Takuya Futagami +2 more
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A New Building Mask Using the Gradient of Heights for Automatic Building Extraction [PDF]
2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2016 A number of building detection methods have been proposed in the literature. However, they are not effective in detecting small buildings (typically, 50 m²) and buildings with transparent roof due to the way area thresholds and ground points are used.
Fasahat Ullah Siddiqui +3 more
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EANet: Edge-Aware Network for the Extraction of Buildings from Aerial Images
Remote Sensing, 2020 Deep learning methods have been used to extract buildings from remote sensing images and have achieved state-of-the-art performance. Most previous work has emphasized the multi-scale fusion of features or the enhancement of more receptive fields to ...
Guang Yang, Qian Zhang, Guixu Zhang
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Applied Sciences, 2023 Deep learning-based building extraction methods have achieved a high accuracy in closed remote sensing datasets. In fact, the distribution bias between the source and target domains can lead to a dramatic decrease in their building extraction effect in ...
Shaoxuan Zhao +2 more
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A Metric for Polygon Comparison and Building Extraction Evaluation [PDF]
IEEE Geoscience and Remote Sensing Letters, 2015 The standardization of evaluation techniques for building extraction is an unresolved issue in the fields of remote sensing, photogrammetry, and computer vision. In this letter, we propose a metric with a working title “PoLiS metric” to compare two polygons.
Avbelj, Janja +2 more
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